| ---
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| license: bsd-3-clause
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| language:
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| - en
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| base_model:
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| - deeplabv3plus_mobilenet
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| pipeline_tag: image-segmentation
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| tags:
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| - deeplabv3plus
|
| ---
|
|
|
| # DeepLabv3Plus
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|
|
| This version of deeplabv3plus_mobilenet has been converted to run on the Axera NPU using **w8a16** quantization.
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|
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| Compatible with Pulsar2 version: 5.0-patch1
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|
|
| ## Convert tools links:
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|
|
| For those who are interested in model conversion, you can try to export axmodel through
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|
|
| - [The repo of original](https://github.com/VainF/DeepLabV3Plus-Pytorch.git)
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|
|
| - [Pulsar2 Link, How to Convert ONNX to axmodel](https://pulsar2-docs.readthedocs.io/en/latest/pulsar2/introduction.html)
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|
|
|
|
| ## Support Platform
|
|
|
| - AX650
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| - [M4N-Dock(爱芯派Pro)](https://wiki.sipeed.com/hardware/zh/maixIV/m4ndock/m4ndock.html)
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| - [M.2 Accelerator card](https://axcl-docs.readthedocs.io/zh-cn/latest/doc_guide_hardware.html)
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| - AX637
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|
|
| |Chips|Models |Time|
|
| |--|--|--|
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| |AX650|deeplabv3plus_mobilenet_u16|13.4 ms |
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| |AX637|deeplabv3plus_mobilenet_u16|39.4 ms |
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|
|
|
|
| ## How to use
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|
|
| Download all files from this repository to the device
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|
|
|
|
| ### python env requirement
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|
|
| #### pyaxengine
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|
|
| https://github.com/AXERA-TECH/pyaxengine
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|
|
| ```
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| wget https://github.com/AXERA-TECH/pyaxengine/releases/download/0.1.3.rc2/axengine-0.1.3-py3-none-any.whl
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| pip install axengine-0.1.3-py3-none-any.whl
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| ```
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|
|
| #### others
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|
|
| Maybe None.
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|
|
| #### Inference with AX650 Host, such as M4N-Dock(爱芯派Pro)
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|
|
| Input image:
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|
|
| 
|
|
|
| run
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| ```
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| python3 infer.py --img samples/1_image.png --model models-ax637/deeplabv3plus_mobilenet_u16.axmodel
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| ```
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|
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| Output image:
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|
|
| 
|
| |
